Improved point clouds from a heritage artifact depth low-cost acquisition

Abstract

Poor data acquisition from low-cost cameras, such as low-resolution depth maps or high level of noise or point clouds generated with insufficient information from an object, limits the use of such cameras for heritage artifacts 3D reconstruction. This work proposes to improve this depth low-cost acquisition by using a new approach based on the Super-Resolution technique. The proposed approach has been applied to several artifacts of the Federal University of Bahia Museum of Archaeology and Ethnology (MAE/UFBA). As shown in the results, our approach improved the quality of point clouds generated from tested heritage artifacts. Results indicate that whenever artifact geometry is gained via our method there is actual reconstruction of detail or accuracy improvements, whereas a reduction in number of points of the clouds, if any, would indicate the removal of inconsistencies or noise from the input data without loss of detail.